Python
A popular high-level open-source programming language, Python Full Stack Developer has many uses in automation and big data science, as well as in data analytics, game development, and online applications. It is an object-oriented language that is adaptable and a powerful interpreter.
Course provides a comprehensive introduction to one of the most versatile and widely-used programming languages in the world. Students will learn Python's syntax, data structures, control flow, and object-oriented programming principles through a series of hands-on exercises and projects. The course covers essential topics such as file handling, working with libraries and modules, web scraping, data analysis, and building graphical user interfaces (GUIs). Participants will also explore advanced concepts like functional programming, concurrency, and debugging techniques. With Python's simplicity and readability, this course is suitable for beginners and experienced programmers alike, offering a solid foundation for a wide range of applications including web development, data science, automation, and more. Upon completion, students will have the skills and confidence to tackle real-world programming challenges and embark on a rewarding journey in the world of Python development.
Core Python
- Introduction to Python
- Variables, Data Types
- Operators
- Control Statements
- Sequence, Map & Set Data Types
- Functions
- Modules & Packages
- Exception Handling
- File Handling
- Object Oriented Concepts
- Database Connectivity with SQLite database
- VS Code Configuration
Python with Django Framework
- Web designing Techniques like HTML, CSS, JavaScript, jQuery & Bootstrap
- Introduction to MVC and MVT Model
- Django Project Directory Structure
- Views, URL Pattern
- Templates, Forms, Template Inheritance
- Model, ORM, DTL, Queries
- SQLite Database
- AJAX Integration
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Python with Data Science & Machine Learning
- Introduction to Data Science
- Data Manipulation and Visualization using libraries like
- Numpy, Pandas, Matplotlib & Seaborn
- Machine Learning concepts
- Types of Machine Learning
- Regression, Classification and Clustering techniques
- Implementation of Machine Learning Algorithms
- Introduction to Django Framework
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